\u201cWe don\u2019t build a quantum computer,\u201d said Sam Stanwyck, director of quantum products at Nvidia, in an interview with EE Times. \u201cBut Nvidia is fundamentally an accelerated computing platform company, and quantum computing is a part of the future of accelerated computing that we are extremely excited about.\u201d<\/p>\n Nvidia is not developing its own quantum processing units (QPUs). Instead, it is focusing on the classical computing infrastructure around quantum hardware, including software, libraries, interconnects, and control systems that enable hybrid quantum-classical computing.\u00a0<\/p>\n Stanwyck compared the company\u2019s hands-off hardware approach to its strategies in other capital-intensive markets. \u201cWe don\u2019t build our own robot, but we work with every company that does; we don\u2019t build our own self-driving car, but we work with every company that does; we don\u2019t build our own quantum computer, but we\u2019re working with every company that does to make them successful.\u201d<\/p>\n \t\t\t\t\t By Raphi Zadicario, Product Manager and Chief Architect, Lumissil Microsystems\u00a0 08.17.2026<\/p>\n \t\t\t\t\t By Krizelle Paulene Apostol , Software Systems Engineer, Jamila Macagba , Senior Software Systems Engineer, and Maggie Maralit , Software Systems Design Engineering Manager\u00a0 08.13.2026<\/p>\n \t\t\t\t\t By Isaac Lopez, President, OmniScale Media & Charity Plata, Communications Chair, SC26\u00a0 08.13.2026<\/p>\n Integration imperative<\/p>\n Nvidia\u2019s approach reflects a practical limitation of quantum computing: Quantum processors cannot operate independently. Qubits, the basic units of quantum information, are highly sensitive to noise and errors, requiring classical computing systems to control the hardware, process measurement data, perform error correction, and coordinate workloads.<\/p>\n \u201cQuantum computers are not going to work alone,\u201d Stanwyck explained. \u201cThey\u2019re going to integrate with AI supercomputers. And this integration will be mutually beneficial. Quantum computers are going to accelerate certain problems or parts of problems working in concert with CPUs and GPUs, and that AI supercomputer is also going to be essential for operating the quantum computer at all.\u201d<\/p>\n The development comes as the U.S. government steps up efforts to advance quantum technology. In June 2026, President Trump signed a major Executive Order on quantum innovation<\/a>, directing federal agencies to prioritize R&D, testing, and evaluation of applications and hardware for quantum sensing and quantum networking. The order also calls for at least three next-generation quantum sensor projects to be prioritized for fielding by September 2028. A separate Executive Order<\/a> aims to accelerate the migration of federal systems to post-quantum cryptography. In May, the U.S. government also announced $2.013 billion in planned CHIPS and Science Act funding<\/a> for nine quantum computing and quantum foundry companies.<\/p>\n For Nvidia, this growing federal support for quantum technology creates a commercial opportunity. Rather than waiting for a distant \u201cquantum advantage\u201d milestone, Nvidia is supplying the classical computing infrastructure used today to simulate quantum circuits, test algorithms, and accelerate error-decoding workloads.<\/p>\n Coding the qubit<\/p>\n At the heart of Nvidia\u2019s plan is CUDA-Q<\/a>, an open-source programming model that supports a broad range of QPUs. It provides a common programming interface for integrating quantum and classical computing, helping conventional software developers work with quantum processors. Nvidia is applying a strategy similar to the one it used with CUDA, which helped turn GPUs from gaming hardware into a foundation of modern AI computing.\u00a0<\/p>\n \u201cOne of the really amazing things about quantum computing is we can learn a lot from the lessons of GPUs and what it took to take them\u2026 to unlock completely new application spaces,\u201d Stanwyck said. \u201cFirst and foremost was the right programming model. Twenty years ago, CUDA came along and made it so that if you could program in C and eventually C++ and Python, you could program a GPU and you didn\u2019t have to rewrite your code.\u201d<\/p>\n The quantum computing field remains highly fragmented. \u201cRight now, you kind of have to be a quantum physicist to use it,\u201d Stanwyck noted. \u201cYou have to write different types of code for each different type of physical quantum processor, and that\u2019s going to limit applications.\u201d<\/p>\n CUDA-Q aims to standardize the software stack. Developers can write application code with quantum kernels, run those kernels on Nvidia-accelerated simulators, and then, \u201cjust by changing a compiler flag,\u201d run them across 12 different physical quantum processors. By removing the coding barrier, Nvidia opens the door for mainstream software developers.<\/p>\n \u201cThe barrier to entry has never been lower in computing in general, and that goes for quantum computing as well,\u201d Stanwyck said. \u201cCUDA-Q is open source, and we welcome contributions\u2026 It\u2019s much more important to have deep scientific expertise and deep domain expertise and bring that to the quantum community.\u201d<\/p>\n Race to fault tolerance<\/p>\n \u201cThe biggest problem is the errors in the quantum computers right now,\u201d Stanwyck said. \u201cSo they\u2019re not limited by scale; the error rate limits them.\u201d<\/p>\n To address this, Nvidia has released Ising<\/a>, an open-source family of AI models targeting quantum calibration and error correction. Bringing up a quantum processor has historically required highly skilled physicists to tune qubits, a process that can take days manually.<\/p>\n With Ising Calibration<\/a>, a 31-billion-parameter vision-language model, Nvidia and its partners, such as Finland\u2019s IQM Quantum Computers, automate aspects of this calibration process. Nvidia said the system uses AI agents to inspect diagnostic plots, compressing calibration cycles from days to hours.<\/p>\n Simultaneously, Nvidia is targeting real-time decoding\u2014the process of identifying and correcting quantum errors before they ruin a calculation. Because error correction should happen in microseconds, the connection between the quantum processor and the classical decoder must be incredibly fast. This is where Nvidia\u2019s NVQLink, a low-latency physical interconnect launched in late 2025, comes in, linking QPUs and GPUs with a few microseconds of latency.<\/p>\n To bypass the massive physical qubit overhead conventionally required for error correction, Nvidia is publishing groundbreaking research. \u201cWe put out a preprint yesterday on the arXiv for a new type of quantum error correction code that works with our CUDA-Q GPU-accelerated decoder,\u201d Stanwyck said. \u201cIt actually only takes five physical qubits to encode one logical qubit. If we can get that to work with GPU-accelerated decoding, these are the types of things that move the timeline for quantum computing a lot.\u201d<\/p>\n Nvidia claimed its color-code predecoder<\/a> demonstrates a 7.3\u00d7 speedup and a 347\u00d7 drop in logical error rates in a specific decoding benchmark. This highlights how classical neural networks can help manage quantum systems.<\/p>\n Commercial realities and the 1% advantage<\/p>\n Quantum biology and chemistry may be the best long-term uses, but Wall Street is already looking to benefit from early quantum advances. According to Stanwyck, banks such as JPMorgan Chase and HSBC are teaming up with Nvidia to create hybrid GPU-quantum systems for portfolio optimization and fraud detection applications.<\/p>\n For financial institutions, even a minor advantage is worth the heavy research investment. \u201cThe nice thing about a potential quantum advantage in finance is if you can find a 1% advantage, it\u2019s very, very valuable,\u201d Stanwyck said.\u00a0<\/p>\n By providing the software, the low-latency networking, and the AI models that keep the qubits running, Nvidia has built a tollbooth at the entrance to the quantum era.<\/p>\n Read also:<\/p>\n CUDA-Q<\/a>, ERROR-CORRECTION SYSTEM<\/a>, ISING<\/a>, MARENOSTRUM<\/a>, QUANTUM COMPUTING<\/a>, QUBITS<\/a>\n <\/p>\n BARCELONA SUPER COMPUTING CENTER<\/a>, NVIDIA<\/a>\n <\/p>\n","protected":false},"excerpt":{"rendered":"\/\/php echo do_shortcode(‘[responsivevoice_button voice=”US English Male” buttontext=”Listen to Post”]’) ?> On the ground floor of the Barcelona Supercomputing…\n","protected":false},"author":2,"featured_media":1156437,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_share_on_mastodon":"0"},"categories":[3845],"tags":[314432,314433,314434,314435,74,3358,15109,70,16,15],"class_list":["post-1156436","post","type-post","status-publish","format-standard","has-post-thumbnail","category-physics","tag-cuda-q","tag-error-correction-system","tag-ising","tag-marenostrum","tag-physics","tag-quantum-computing","tag-qubits","tag-science","tag-uk","tag-united-kingdom"],"share_on_mastodon":{"url":"","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/1156436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/comments?post=1156436"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/posts\/1156436\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media\/1156437"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/media?parent=1156436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/categories?post=1156436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/uk\/wp-json\/wp\/v2\/tags?post=1156436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2026\/08\/low-260527_capilla_cuantico_04_dsc05683-2.jpg\")
MareNostrum Ona, the quantum computing partition of MareNostrum 5, is housed in the Torre Girona chapel at the Barcelona Supercomputing Center. The red and blue systems are the digital quantum computers; the green system in the center is the newly inaugurated analog quantum computer. (Source:\u00a0BSC<\/a>)<\/p>\n![\"The](\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2026\/08\/Charging-Inlet-Design-Guide-ft-img-Thumbnail_600x340-1.png\")
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<\/a><\/p>\n![\"Barcelona](\"https:\/\/www.europesays.com\/uk\/wp-content\/uploads\/2026\/08\/Alba-Cervera-Lierta-standing-under-the-first-quantum-computer-in-Spain.jpg\")
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